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PreprintCC BY-NC-ND 4.0arXiv

Resolvent comparison for Hermitian block matrices and Kelmans transformations

Abstract

A Kelmans transformation increases or preserves the largest eigenvalue of a symmetric nonnegative matrix. We determine when this comparison holds for Hermitian block extensions with a fixed coupling and an arbitrary common complementary block. An orthogonal change of basis and Schur complementation give an exact formula for the compressed resolvent difference as a difference of two rank-one matrices. This formula characterizes admissible coupling subspaces by proportionality of projected resolvent vectors. Polynomial coefficient kernels describe all such subspaces, and cyclic subspaces give dimension bounds and a maximum-dimension result for a two-block family. We also prove a general block comparison theorem and give monotonicity and equality criteria for nonnegative rank-one couplings. Applications concern graph joins, complex attachments, and Hermitian adjacency matrices.

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BibTeX
@misc{meng2026resolvent,
  title = {{Resolvent comparison for Hermitian block matrices and Kelmans transformations}},
  author = {Xianhao Meng and Zhijun Xu and Zhiyuan Zhang},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.04688},
  eprint = {2611.04688},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.04688},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Resolvent comparison for Hermitian block matrices and Kelmans transformations
AU  - Xianhao Meng
AU  - Zhijun Xu
AU  - Zhiyuan Zhang
PY  - 2026
DA  - 2026/11/03
PB  - arXiv
DO  - 10.48550/arxiv.2611.04688
UR  - https://arxiv.org/abs/2611.04688
AB  - A Kelmans transformation increases or preserves the largest eigenvalue of a symmetric nonnegative matrix. We determine when this comparison holds for Hermitian block extensions with a fixed coupling and an arbitrary common complementary block. An orthogonal change of basis and Schur complementation give an exact formula for the compressed resolvent difference as a difference of two rank-one matrices. This formula characterizes admissible coupling subspaces by proportionality of projected resolvent vectors. Polynomial coefficient kernels describe all such subspaces, and cyclic subspaces give dimension bounds and a maximum-dimension result for a two-block family. We also prove a general block comparison theorem and give monotonicity and equality criteria for nonnegative rank-one couplings. Applications concern graph joins, complex attachments, and Hermitian adjacency matrices.
ER  -